## What does it mean if a scatter plot has no association?

A scatter plot shows the association between two variables. If one variable tends to increase as the other decreases, the association is negative. If there is no pattern, the association is zero. When a straight line describes the relationship between the variables, the association is linear.

### What are the 3 types of associations for scatter plots?

With scatter plots we often talk about how the variables relate to each other. This is called correlation. There are three types of correlation: positive, negative, and none (no correlation). Positive Correlation: as one variable increases so does the other.

**What do you call a scatter plot with no correlation?**

If the points on the scatter plot seem to be scattered randomly, there is no relationship or no correlation between the variables. When there is a positive or negative relationship between your variables, you can draw a line of best fit.

**What does it mean to have no association?**

Filters. Lack of association; the quality of not being associated.

## What does it mean no association?

Negative Direction of Association Two variables have negative association when the values of one variable tend to decrease as the values of the other variable increase. In statistics, a perfect negative association is represented by the value -1.00, while a 0.00 indicates no association.

### What is the difference between nonlinear association and no association?

No association means that there is no line and all the dots are scattered. Nonlinear association means that the dots are close to each other but are not in a line.

**What is the relationship of a scatter plot?**

Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation . Scatter plots usually consist of a large body of data.

**How many types of scatter plots are there?**

These are: positive (values increase together), negative (one value decreases as the other increases), null (no correlation), linear, exponential and U-shaped.

## What does no correlation mean?

Zero or no correlation: A correlation of zero means there is no relationship between the two variables. In other words, as one variable moves one way, the other moved in another unrelated direction.

### What does zero correlation look like?

If the correlation coefficient of two variables is zero, there is no linear relationship between the variables. When the value of ρ is close to zero, generally between -0.1 and +0.1, the variables are said to have no linear relationship (or a very weak linear relationship).

**How do you know if the there is no association?**

The conditional distributions are key to determining if there is a significant association between two categorical variables, and what this association looks like. If these distributions are the same for each level of the second variable, we would conclude there was no association.

**What kind of association does a scatter plot show?**

Data that show a positive or negative association and lie basically along a line exhibit a linear association. Data that show a positive or negative association but do not lie basically along a line exhibit a nonlinear association. The final question on a science test reads, how many hours spent studying for this test.

## How does a scatter plot work for reading?

A survey made among students in a district and the scatter plot shows the level of reading and height for 16 students in the district. Describe the association and give a possible reason for it. The students who are taller read at a higher level.

### How are bivariate data used in a scatter plot?

We know that a set of bivariate data involves two variables. Bivariate data can be used to explore the relationship between two variables. We can graph bivariate data on a scatter plot. A scatter plot is a graph with points plotted to show the association between two variables or two sets of data.

**Is the final question on a science test a nonlinear association?**

Data that show a positive or negative association but do not lie basically along a line exhibit a nonlinear association. The final question on a science test reads, how many hours spent studying for this test. The teacher records the number of hours each student studied and the marks scored by the respective student on the test.